​​About the Role:

As a Data Analyst for Operations Analytics, you will play a critical role in supporting data-driven decision-making across operational functions at Hims & Hers. This role is focused on leveraging analytics to optimize business processes, uncover insights, and enhance efficiency. Using your skills in data analysis, visualization, and storytelling, you will build trusted data products and collaborate with cross-functional teams to address key business challenges.

You will work closely with stakeholders within Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance to analyze operational performance, identify trends, and develop actionable recommendations. This fully remote role reports directly to the Senior Manager of Operations Analytics, fostering a collaborative environment that prioritizes growth and innovation.

You Will:

• Own the accuracy and completeness of downstream operational data

• Serve as the operational data domain expert, acting as a liaison between data engineers, business analysts, and other stakeholders

• Design, develop, and maintain dashboards and reports using BI tools (e.g., Looker, Tableau) to monitor operational performance and key metrics

• Collaborate with operations teams to identify data needs and translate them into actionable insights and visualizations

• Perform in-depth analysis to uncover patterns, trends, and opportunities for process improvement

• Develop and document scalable data models and processes to ensure data accuracy, consistency, and accessibility for stakeholders

• Contribute to the automation of data workflows and reporting processes to improve efficiency

• Partner with cross-functional teams (e.g., Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance) to ensure alignment and consistency in data usage

• Communicate findings and recommendations effectively through data storytelling and presentations to technical and non-technical audiences

You Have: 

• 5-8 years of experience in data analysis, operations analytics, or a related field

• Strong proficiency in SQL and data manipulation for analysis and reporting

• Hands-on experience with modern analytics tools and technologies, including Looker, Google BigQuery, and DBT

• Solid understanding of data visualization best practices and principles

• Ability to logically connect data and system logic with business processes and requirements

• Proven ability to work with complex datasets and translate them into actionable insights

• Strong analytical skills with a focus on problem-solving and process improvement

• Excellent communication skills and the ability to explain technical concepts to non-technical audiences

• Demonstrated ability to work independently and manage multiple projects in a fast-paced environment

Preferred:

• Bachelor's degree in Mathematics, Statistics, Data Analytics or a related field

• Experience with healthcare data (e.g., HIPAA, PHI) or two-sided marketplace data

• Experience with Python or R for data analysis and automation

• Familiarity with statistical analysis or data science concepts

• Knowledge of operations metrics and KPIs across areas such as fulfillment, logistics, customer service, and supply chain

• Experience working with DBT pipelines and collaborating with Data Engineering teams

• A portfolio of past work showcasing dashboards, analyses, or data solutions

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles

• Unlimited PTO, company holidays, and quarterly mental health days

• Comprehensive health benefits including medical, dental & vision, and parental leave

• Employee Stock Purchase Program (ESPP)

• Employee discounts on hims & hers & Apostrophe online products

• 401k benefits with employer matching contribution

• Offsite team retreats

#LI-Remote